memory_manage
Manage team semantic memory storage in FleetQ: search, add, delete, and organize knowledge for AI agents.
Instructions
Manage team memory (semantic store). Actions: search (query, limit), list_recent, stats, add (content, metadata), delete (memory_id), upload_knowledge. Note: supabase_provision not available in cloud.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | Action to perform: search, list_recent, stats, add, delete, upload_knowledge | |
| query | Yes | Search keyword to match against memory content | |
| agent_id | No | Filter by agent UUID | |
| limit | No | Max results to return (default 10, max 100) | |
| min_confidence | No | Minimum confidence score to filter results (0.0–1.0, default 0.0 to include all) | |
| category | No | Filter by memory category: preference, knowledge, context, behavior, goal | |
| source_type | No | Filter by source type (e.g. execution, manual, signal) | |
| content | Yes | The memory text to store | |
| project_id | No | Associate this memory with a specific project UUID (optional) | |
| tags | No | Tags for grouping and filtering memories | |
| confidence | No | Confidence score 0.0–1.0. Default: 1.0 for manually added memories | |
| metadata | No | Additional structured metadata (key-value pairs) | |
| memory_ids | Yes | Array of memory UUIDs to delete |